Apress | Computer Vision Using Deep Learning: Neural Network Architectures With Python And Keras (2021 EN)

Author: Vaibhav Verdhan
Full Title: Computer Vision Using Deep Learning: Neural Network Architectures With Python And Keras
Publisher: Apress; 1st ed. edition (March 2, 2021)
Year: 2021
ISBN-13: 9781484266168 (978-1-4842-6616-8), 9781484266151 (978-1-4842-6615-1)
ISBN-10: 1484266161, 1484266153
Pages: 308
Language: English
Genre: Educational: Artificial Intelligence
File type: EPUB (True), PDF (True), Code Files
Quality: 10/10
Price: 37.44 €


Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems.

This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.

Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.


Learn:
✓ Examine deep learning code and concepts to apply guiding principals to your own projects
✓ Classify and evaluate various architectures to better understand your options in various use cases
✓ Go behind the scenes of basic deep learning functions to find out how they work

Features:
✓ Implement Deep Learning solutions on your own systems to bridge the gap between theory and practice
✓ Examine the inner workings of the codes and libraries that make Deep Learning applications work
✓ Create solutions for computer vision design using Keras and TensorFlow

Who This Book Is For:
Professional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.

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